[R] iterators : checkFunc with ireadLines

William Michels wjm1 @end|ng |rom c@@@co|umb|@@edu
Mon May 18 04:54:15 CEST 2020


Apologies, Laurent, for this two-part answer. I misunderstood your
post where you stated you wanted to "filter(ing) some
selected lines according to the line name... ." I thought that meant
you had a separate index (like a series of primes) that you wanted to
use to only read-in selected line numbers from a file (test file below
with numbers 1:1000 each on a separate line):

> library(gmp)
> library(iterators)
> iprime <- iter(1:100, checkFunc = function(n) isprime(n))
> scan(file="one_thou_lines.txt", skip=nextElem(iprime)-1, nlines=1)
Read 1 item
[1] 2
> scan(file="one_thou_lines.txt", skip=nextElem(iprime)-1, nlines=1)
Read 1 item
[1] 3
> scan(file="one_thou_lines.txt", skip=nextElem(iprime)-1, nlines=1)
Read 1 item
[1] 5
> scan(file="one_thou_lines.txt", skip=nextElem(iprime)-1, nlines=1)
Read 1 item
[1] 7
>

However, what it really seems that you want to do is read each line of
a (possibly enormous) file, test each line "string-wise" to keep or
discard, and if you're keeping it, append the line to a list. I can
certainly see the advantage of this strategy for reading in very, very
large files, but it's not clear to me how the "ireadLines" function (
in the "iterators" package) will help you, since it doesn't seem to
generate anything but a sequential index.

Anyway, below is an absolutely standard read-in of your data using
read.table(). Hopefully some of the code I've posted has been useful
to you.

> sensors <-  c("N053", "N163")
> read.table("test2.txt")
    V1        V2        V3        V4        V5        V6        V7
   V8        V9       V10
1 Time  0.000000  0.000999  0.001999  0.002998  0.003998  0.004997
0.005997  0.006996  0.007996
2 N023 -0.031323 -0.035026 -0.029759 -0.024886 -0.024464 -0.026816
-0.033690 -0.041067 -0.038747
3 N053 -0.014083 -0.004741  0.001443 -0.010152 -0.012996 -0.005337
-0.008738 -0.015094 -0.012104
4 N123 -0.019008 -0.013494 -0.013180 -0.029208 -0.032748 -0.020243
-0.015089 -0.014439 -0.011681
5 N163 -0.054023 -0.049345 -0.037158 -0.041120 -0.044612 -0.036953
-0.036061 -0.044516 -0.046436
6 N193 -0.022171 -0.022384 -0.022338 -0.023304 -0.022569 -0.021827
-0.021996 -0.021755 -0.021846
> Laurent_data <- read.table("test2.txt")
> Laurent_data[Laurent_data$V1 %in% sensors, ]
    V1        V2        V3        V4        V5        V6        V7
   V8        V9       V10
3 N053 -0.014083 -0.004741  0.001443 -0.010152 -0.012996 -0.005337
-0.008738 -0.015094 -0.012104
5 N163 -0.054023 -0.049345 -0.037158 -0.041120 -0.044612 -0.036953
-0.036061 -0.044516 -0.046436

Best, Bill.

W. Michels, Ph.D.


On Sun, May 17, 2020 at 5:43 PM Laurent Rhelp <LaurentRHelp using free.fr> wrote:
>
> Dear R-Help List,
>
>     I would like to use an iterator to read a file filtering some
> selected lines according to the line name in order to use after a
> foreach loop. I wanted to use the checkFunc argument as the following
> example found on internet to select only prime numbers :
>
> |                                iprime <- ||iter||(1:100, checkFunc =
> ||function||(n) ||isprime||(n))|
>
> |(https://datawookie.netlify.app/blog/2013/11/iterators-in-r/)
> <https://datawookie.netlify.app/blog/2013/11/iterators-in-r/>|
>
> but the checkFunc argument seems not to be available with the function
> ireadLines (package iterators). So, I did the code below to solve my
> problem but I am sure that I miss something to use iterators with files.
> Since I found nothing on the web about ireadLines and the checkFunc
> argument, could somebody help me to understand how we have to use
> iterator (and foreach loop) on files keeping only selected lines ?
>
> Thank you very much
> Laurent
>
> Presently here is my code:
>
> ##        mock file to read: test.txt
> ##
> # Time    0    0.000999    0.001999    0.002998    0.003998 0.004997
> 0.005997    0.006996    0.007996
> # N023    -0.031323    -0.035026    -0.029759    -0.024886 -0.024464
> -0.026816    -0.03369    -0.041067    -0.038747
> # N053    -0.014083    -0.004741    0.001443    -0.010152 -0.012996
> -0.005337    -0.008738    -0.015094    -0.012104
> # N123    -0.019008    -0.013494    -0.01318    -0.029208 -0.032748
> -0.020243    -0.015089    -0.014439    -0.011681
> # N163    -0.054023    -0.049345    -0.037158    -0.04112 -0.044612
> -0.036953    -0.036061    -0.044516    -0.046436
> # N193    -0.022171    -0.022384    -0.022338    -0.023304 -0.022569
> -0.021827    -0.021996    -0.021755    -0.021846
>
>
> # sensors to keep
>
> sensors <-  c("N053", "N163")
>
>
> library(iterators)
>
> library(rlist)
>
>
> file_name <- "test.txt"
>
> con_obj <- file( file_name , "r")
> ifile <- ireadLines( con_obj , n = 1 )
>
>
> ## I do not do a loop for the example
>
> res <- list()
>
> r <- get_Lines_iter( ifile , sensors)
> res <- list.append( res , r )
> res
> r <- get_Lines_iter( ifile , sensors)
> res <- list.append( res , r )
> res
> r <- get_Lines_iter( ifile , sensors)
> do.call("cbind",res)
>
> ## the function get_Lines_iter to select and process the line
>
> get_Lines_iter  <-  function( iter , sensors, sep = '\t', quiet = FALSE){
>    ## read the next record in the iterator
>    r = try( nextElem(iter) )
>   while(  TRUE ){
>      if( class(r) == "try-error") {
>            return( stop("The iterator is empty") )
>     } else {
>     ## split the read line according to the separator
>      r_txt <- textConnection(r)
>      fields <- scan(file = r_txt, what = "character", sep = sep, quiet =
> quiet)
>       ## test if we have to keep the line
>       if( fields[1] %in% sensors){
>         ## data processing for the selected line (for the example
> transformation in dataframe)
>         n <- length(fields)
>         x <- data.frame( as.numeric(fields[2:n]) )
>         names(x) <- fields[1]
>         ## We return the values
>         print(paste0("sensor ",fields[1]," ok"))
>         return( x )
>       }else{
>        print(paste0("Sensor ", fields[1] ," not selected"))
>        r = try(nextElem(iter) )}
>     }
> }# end while loop
> }
>
>
>
>
>
>
>
> --
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>
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